Suppr超能文献

调查泰国心理健康服务就诊的时空模式及聚集情况,以为政策制定和资源分配提供参考。

Investigating the spatiotemporal patterns and clustering of attendances for mental health services to inform policy and resource allocation in Thailand.

作者信息

Rotejanaprasert Chawarat, Thanutchapat Papin, Phoncharoenwirot Chiraphat, Mekchaiporn Ornrakorn, Chienwichai Peerut, Maude Richard J

机构信息

Department of Tropical Hygiene, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.

Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.

出版信息

Int J Ment Health Syst. 2024 May 9;18(1):19. doi: 10.1186/s13033-024-00639-5.

Abstract

BACKGROUND

Mental illness poses a substantial global public health challenge, including in Thailand, where exploration of access to mental health services is limited. The spatial and temporal dimensions of mental illness in the country are not extensively studied, despite the recognized association between poor mental health and socioeconomic inequalities. Gaining insights into these dimensions is crucial for effective public health interventions and resource allocation.

METHODS

This retrospective study analyzed mental health service utilization data in Thailand from 2015 to 2023. Temporal trends in annual numbers of individuals visiting mental health services by diagnosis were examined, while spatial pattern analysis employed Moran's I statistics to assess autocorrelation, identify small-area clustering, and hotspots. The implications of our findings for mental health resource allocation and policy were discussed.

RESULTS

Between 2015 and 2023, mental health facilities documented a total of 13,793,884 visits. The study found anxiety, schizophrenia, and depression emerged as the top three illnesses for mental health visits, with an increase in patient attendance following the onset of the COVID-19 outbreak. Spatial analysis identified areas of significance for various disorders across different regions of Thailand. Positive correlations between certain disorder pairs were found in specific regions, suggesting shared risk factors or comorbidities.

CONCLUSIONS

This study highlights spatial and temporal variations in individuals visiting services for different mental disorders in Thailand, shedding light on service gaps and socioeconomic issues. Addressing these disparities requires increased attention to mental health, the development of appropriate interventions, and overcoming barriers to accessibility. The findings provide a baseline for policymakers and stakeholders to allocate resources and implement culturally responsive interventions to improve mental health outcomes.

摘要

背景

精神疾病给全球公共卫生带来了重大挑战,泰国也不例外,该国在心理健康服务可及性方面的探索有限。尽管人们已经认识到心理健康不佳与社会经济不平等之间的关联,但该国精神疾病的时空维度尚未得到广泛研究。深入了解这些维度对于有效的公共卫生干预措施和资源分配至关重要。

方法

这项回顾性研究分析了泰国2015年至2023年的心理健康服务利用数据。研究了按诊断分类的每年心理健康服务就诊人数的时间趋势,同时空间模式分析采用莫兰指数统计来评估自相关性、识别小区域聚类和热点。讨论了我们的研究结果对心理健康资源分配和政策的影响。

结果

2015年至2023年期间,心理健康机构共记录了13793884次就诊。研究发现,焦虑症、精神分裂症和抑郁症成为心理健康就诊的三大主要疾病,在新冠疫情爆发后患者就诊人数有所增加。空间分析确定了泰国不同地区各种疾病的重要区域。在特定区域发现了某些疾病对之间的正相关,表明存在共同的风险因素或共病情况。

结论

本研究突出了泰国不同精神障碍患者就诊的时空差异,揭示了服务差距和社会经济问题。解决这些差距需要更加关注心理健康,制定适当的干预措施,并克服可及性障碍。这些发现为政策制定者和利益相关者分配资源和实施具有文化适应性的干预措施以改善心理健康结果提供了一个基线。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a33/11080131/a47939b37a3c/13033_2024_639_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验